@article{CorreaEshre2021, abstract = {Most patients treated by IVF undergo Controlled Ovarian Stimulation (COS). Based on their ovarian markers, demographic characteristics, and clinical history, an initial dose of follitropin is prescribed. Failing to tailor correctly this dose can result in a suboptimal ovarian response, leading to either low and ineffective response or excessive and dangerous stimulation. AI methods can learn from large databases of COS results and generate predictive models to assist the clinicians in optimizing this decision.}, author = {Correa, Núria and Cerquides, Jesús and Arcos, Josep Lluis and Vassena, Rita}, journal = {Human Reproduction}, volume={36}, title = {Development and validation of an Artificial Intelligence algorithm that matches a clinician ability to select the best follitropin dose for ovarian stimulation}, year = {2021}, doi={https://doi.org/10.1093/humrep/deab130.636}}